Driver fatigue detection using smart eye blink monitoring system

Patel, M; Kavanagh, D; Lal, S; Rossiter, P

Driver fatigue detection using smart eye blink monitoring system

Patel, M Kavanagh, D Lal, S

Rossiter, P

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Publication Type:: Conference Proceeding
Citation:: BROADBANDCOM 2009 - Selected Papers on Broadband Communication, Information Technology and Biomedical Applications, 2009, pp. 387 - 392
Issue Date:: 2009-01-01

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Field	Value	Language
dc.contributor.author	Patel, M	en_US
dc.contributor.author	Kavanagh, D	en_US
dc.contributor.author	Lal, S https://orcid.org/0000-0002-0911-0850	en_US
dc.contributor.author	Rossiter, P	en_US
dc.date.issued	2009-01-01	en_US
dc.identifier.citation	BROADBANDCOM 2009 - Selected Papers on Broadband Communication, Information Technology and Biomedical Applications, 2009, pp. 387 - 392	en_US
dc.identifier.isbn	9788374934701	en_US
dc.identifier.uri	http://hdl.handle.net/10453/12725
dc.description.abstract	Long duration driving is a significant cause of fatigue related accidents on motorways. This paper presents the design of a detection system which can be used to detect fatigue in drivers. The system focuses on eye blink rate. We propose an algorithm for eye detection that is conducted through a process of extracting the face image from the video image followed by evaluating the eye region and then eventually detecting the iris of the eye using the binary image. The advantage of this system is that the algorithm works without any constraint of the background as the face is detected using a skin segmentation technique. The detection performance of this system was tested using video images which were recorded under laboratory conditions. The applicability of the system is discussed in light of fatigue detection for drivers.	en_US
dc.relation.ispartof	BROADBANDCOM 2009 - Selected Papers on Broadband Communication, Information Technology and Biomedical Applications	en_US
dc.title	Driver fatigue detection using smart eye blink monitoring system	en_US
dc.type	Conference Proceeding
utslib.for	1004 Medical Biotechnology	en_US
dc.location.activity	Wroclaw, Poland	en_US
dc.location.activity	Huangshan, China
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Mechanical and Mechatronic Engineering
pubs.organisational-group	/University of Technology Sydney/Faculty of Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Science/School of Life Sciences
pubs.organisational-group	/University of Technology Sydney/Strength - CHT - Health Technologies
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US

Abstract:

Long duration driving is a significant cause of fatigue related accidents on motorways. This paper presents the design of a detection system which can be used to detect fatigue in drivers. The system focuses on eye blink rate. We propose an algorithm for eye detection that is conducted through a process of extracting the face image from the video image followed by evaluating the eye region and then eventually detecting the iris of the eye using the binary image. The advantage of this system is that the algorithm works without any constraint of the background as the face is detected using a skin segmentation technique. The detection performance of this system was tested using video images which were recorded under laboratory conditions. The applicability of the system is discussed in light of fatigue detection for drivers.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/12725